{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YEIS3ADLO3SXHLHGULNFKDA3MJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2a51a540340ead5ec39b26aa5cd25e421c7583cb61a93676a743725e74c14f42","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T06:47:35Z","title_canon_sha256":"5e99f3f10bab8b5fd1676feb5023bb58f03a6b140b6379aa5f3b9cb6d7351b65"},"schema_version":"1.0","source":{"id":"2305.12767","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.12767","created_at":"2026-07-05T07:01:01Z"},{"alias_kind":"arxiv_version","alias_value":"2305.12767v2","created_at":"2026-07-05T07:01:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.12767","created_at":"2026-07-05T07:01:01Z"},{"alias_kind":"pith_short_12","alias_value":"YEIS3ADLO3SX","created_at":"2026-07-05T07:01:01Z"},{"alias_kind":"pith_short_16","alias_value":"YEIS3ADLO3SXHLHG","created_at":"2026-07-05T07:01:01Z"},{"alias_kind":"pith_short_8","alias_value":"YEIS3ADL","created_at":"2026-07-05T07:01:01Z"}],"graph_snapshots":[{"event_id":"sha256:dbc5160b630d80e67f4b07dc3b422d0352cb7eb691fb6f838b5d48032bd4739c","target":"graph","created_at":"2026-07-05T07:01:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2305.12767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many-to-many multimodal summarization (M$^3$S) task aims to generate summaries in any language with document inputs in any language and the corresponding image sequence, which essentially comprises multimodal monolingual summarization (MMS) and multimodal cross-lingual summarization (MXLS) tasks. Although much work has been devoted to either MMS or MXLS and has obtained increasing attention in recent years, little research pays attention to the M$^3$S task. Besides, existing studies mainly focus on 1) utilizing MMS to enhance MXLS via knowledge distillation without considering the performance ","authors_text":"Fandong Meng, Jiaan Wang, Jie Zhou, Jinan Xu, Yufeng Chen, Yunlong Liang","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T06:47:35Z","title":"D$^2$TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.12767","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3986689add13490ca994af77679b133c9f0ae94e1cae9265135303a7b05b509d","target":"record","created_at":"2026-07-05T07:01:01Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2a51a540340ead5ec39b26aa5cd25e421c7583cb61a93676a743725e74c14f42","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T06:47:35Z","title_canon_sha256":"5e99f3f10bab8b5fd1676feb5023bb58f03a6b140b6379aa5f3b9cb6d7351b65"},"schema_version":"1.0","source":{"id":"2305.12767","kind":"arxiv","version":2}},"canonical_sha256":"c1112d806b76e573ace6a2da550c1b626447d71682ff78a1cd44ceb1b0884e71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1112d806b76e573ace6a2da550c1b626447d71682ff78a1cd44ceb1b0884e71","first_computed_at":"2026-07-05T07:01:01.482108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:01.482108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mjJzHrNLPAiehtcKaETkxkJcIpCUJwwLPwGiOVDl5rQ5mn9zKW++UWjS06XNDdLI7Zd6GqbcxWAGH5ULAbJeDA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:01.482614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.12767","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3986689add13490ca994af77679b133c9f0ae94e1cae9265135303a7b05b509d","sha256:dbc5160b630d80e67f4b07dc3b422d0352cb7eb691fb6f838b5d48032bd4739c"],"state_sha256":"953a440125159c85f0fbf3b21c3e1669dcced7200afc678f8e7b3340091d121a"}